RTX 5880 Ada vs RTX A6000: Specs, VRAM & Price

Short answer: choose the RTX 5880 Ada when your workload uses FP8 quantized inference or serving. Choose the RTX A6000 when your workload is BF16/FP32-only and FP8 buys you nothing.

Both the RTX 5880 Ada and the RTX A6000 ship with 48 GB of VRAM.

You can rent both by the hour, no purchase required. RTX 5880 Ada from $0.646/GPU/hr; RTX A6000 from $0.363/GPU/hr. The RTX A6000 is 44% cheaper at the entry rate.

RTX 5880 Ada

Good for fine-tuning mid-size models and high-throughput inference

$0.646/hr
Lowest / GPU
$0.750/hr
Median / GPU
48 GB
VRAM
Ada Lovelace
Architecture

RTX A6000

Good for training and inference on models that don't need FP8 kernels

$0.363/hr
Lowest / GPU
$0.626/hr
Median / GPU
48 GB
VRAM
Ampere
Architecture

Last updated: 2026-10-10 18:02:39 UTCRefreshes hourly

Specs side by side

SpecRTX 5880 AdaRTX A6000
VRAM48 GB48 GB
Memory bandwidth–768 GB/s
ArchitectureAda LovelaceAmpere
Compute capability8.98.6
Precisions in hardwareFP32, FP16, BF16, FP8, INT4FP32, FP16, BF16, INT4
NVLink / multi-GPU interconnect–NVLink, 2-way
Max board power (TDP)–300W
Regions14

On-demand price

RateRTX 5880 AdaRTX A6000
Lowest per GPU/hr$0.646/GPU/hr (cheapest overall)$0.550/GPU/hr

Which is better for AI: RTX 5880 Ada or RTX A6000?

Choose the RTX 5880 Ada when your workload uses FP8 quantized inference or serving. Choose the RTX A6000 when your workload is BF16/FP32-only and FP8 buys you nothing.

RTX 5880 Ada vs RTX A6000: common questions

Is the RTX 5880 Ada or the RTX A6000 better for AI?

Short answer: choose the RTX 5880 Ada when your workload uses FP8 quantized inference or serving. Choose the RTX A6000 when your workload is BF16/FP32-only and FP8 buys you nothing.

Is the RTX 5880 Ada or the RTX A6000 cheaper to rent?

On Aquanode's live marketplace the RTX 5880 Ada starts at $0.646/GPU/hr (median $0.750/GPU/hr) and the RTX A6000 starts at $0.363/GPU/hr (median $0.626/GPU/hr). The RTX A6000 is the cheaper of the two at the entry rate, by 44%.

What is the difference between the RTX 5880 Ada and the RTX A6000?

Both cards report 48 GB of VRAM; the RTX 5880 Ada is an Ada Lovelace part and the RTX A6000 is Ampere (compute capability 8.9 vs 8.6); only the RTX 5880 Ada supports FP8 compute. On price, the RTX 5880 Ada lists from $0.646/GPU/hr and the RTX A6000 from $0.363/GPU/hr.

How widely available are the RTX 5880 Ada and the RTX A6000?

The RTX 5880 Ada is listed in 1 region and the RTX A6000 in 4 regions right now.

How much does 1,000 GPU-hours cost on the RTX 5880 Ada vs the RTX A6000?

At the lowest rates listed today, 1,000 GPU-hours costs $646 on the RTX 5880 Ada and $363 on the RTX A6000, a difference of $283 for the same runtime. Rates are per GPU per hour and update hourly.

How much VRAM does the RTX 5880 Ada have compared to the RTX A6000?

Both the RTX 5880 Ada and the RTX A6000 ship with 48 GB of VRAM.

How this comparison is calculated

Every price is normalized to a per-GPU hourly rate using the same pipeline as every other pricing surface on Aquanode, and only the cheapest qualifying offer per provider is shown. A dash means that provider does not currently list that GPU.

Architecture, compute capability and supported precisions come from each vendor's published datasheet for that generation, not from the marketplace feed. This page regenerates at most once per hour.

Memory bandwidth, tensor TFLOPS, NVLink/interconnect and max board power are the same verified-from-datasheet figures shown on each model's own RTX 5880 Ada page and RTX A6000 page, which link the primary vendor source for that model. A dash here means Aquanode hasn't verified that figure from a primary source yet, never a guess.

Go further

Check what fits in each card's memory with the RTX 5880 Ada VRAM calculator and the RTX A6000 VRAM calculator, or browse every model by generation in the GPU index.

Submit the job. Everything after that is ours.

Sign up in 60 seconds. Pay for the GPU minutes you actually use.

© 2026 Aquanode. All rights reserved.

All trademarks, logos and brand names are the property of their respective owners.